Article
Version 2
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Super Twisting Algorithm Direct Power Control of DFIG Using Space Vector Modulation
Version 1
: Received: 25 July 2020 / Approved: 26 July 2020 / Online: 26 July 2020 (02:28:40 CEST)
Version 2 : Received: 14 June 2021 / Approved: 16 June 2021 / Online: 16 June 2021 (12:04:39 CEST)
Version 2 : Received: 14 June 2021 / Approved: 16 June 2021 / Online: 16 June 2021 (12:04:39 CEST)
How to cite: Mazouz, F.; Belkacem, S. Super Twisting Algorithm Direct Power Control of DFIG Using Space Vector Modulation. Preprints 2020, 2020070628. https://doi.org/10.20944/preprints202007.0628.v2 Mazouz, F.; Belkacem, S. Super Twisting Algorithm Direct Power Control of DFIG Using Space Vector Modulation. Preprints 2020, 2020070628. https://doi.org/10.20944/preprints202007.0628.v2
Abstract
This paper presents the super-twisting algorithm (STA) direct power control (DPC) scheme for the control of active and reactive powers of grid-connected DFIG. Simulations of 5 KW DFIG has been presented to validate the effectiveness and robustness of the proposed approach in the presence of uncertainties with respect to vector control (VC). The proposed controller schemes with fixed gains are effective in reducing the ripple of active and reactive powers, effectively suppress sliding-mode chattering and the effe This paper presents a comparative study of two approaches for the direct power control (DPC) of doubly-fed induction generator (DFIG) based on wind energy conversion system (WECS). Vector Control (VC) and Sliding Mode Control (SMC). The simulation results of the DFIG of 5 KW in the presence of various uncertainties were carried out to evaluate the capability and robustness of the proposed control scheme. The (SMC) strategy is the most appropriate scheme with the best combination such as reducing high powers ripple, diminishing steady-state error in addition to the fact that the impact of machine parameter variations does not change the system performance. cts of parametric uncertainties not affecting system performance.
Keywords
DFIG; SVM; VC; Wind Turbine (WT); parameters uncertainly
Subject
Engineering, Energy and Fuel Technology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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